Nvidia

At its fall 2022 GTC developer conference, Nvidia announced new products geared toward robotics developers, including a cloud-based Isaac Sim and the Jetson ...

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Nvidia Corp., the most valuable semiconductor maker in the US, unveiled a new type of graphics chip that uses enhanced artificial intelligence to create ...

The top-of-the-line RTX 4090 will cost $1,599 and go on sale Oct. Other versions that come in November will retail for $899 and $1,199. Codenamed Ada Lovelace, the new architecture underpins the company’s GeForce RTX 40 series of graphics cards, unveiled by co-founder and Chief Executive Officer Jensen Huang at an online event Tuesday.

Nvidia Corp on Tuesday announced new flagship chips for video gamers that use artificial intelligence (AI) to enhance graphics, saying it has tapped Taiwan ...

ban on selling Nvidia's top data center AI chips to China. The Lovelace chips have extended that technique to generate entire frames of a game using AI. Nvidia designs its chips but has them manufactured by partners. The flagship GeForce RTX 4090 model of the chip will sell for $1,599 and go on sale on Oct. Nvidia has gained attention in recent years with its booming data center business, which sells chips used in artificial intelligence work such as natural language processing. Register now for FREE unlimited access to Reuters.com

Two long years later, the next generation of graphics cards is finally here as Nvidia unwraps the GeForce RTX 4090 and RTX 4080 at its "Project Beyond" GTC ...

But those new RTX 40-series prices hurt, and if the RTX 4090 and 4080 don’t come out of the gate swinging hard, unsold RTX 30-series GPUs and used graphics cards may very well be a much better value. The RTX 4090 starts at $1,599, a $99 premium over the RTX 3090. Update: Nvidia’s website included some specs for the RTX 4080 models, which you can see above. There’s a massive gulf in pricing between the two models, but Huang didn’t get into technical differences between them, and didn’t even tease gaming performance for the 4080 duo. One comes with 16GB of GDDR6X memory and starts at a staggering $1,199—the same price as last-generation’s RTX 3080 Ti. But most gamers would no doubt be better off looking at the new duo of RTX 4080 options. Instead, with its ample 24GB of GDDR6X memory and staggering $1,599 price tag, it once again looks like an absolute powerhouse for prosumers who can put the GPU to work during the day, then enjoy face-melting framerates in games at night. Since this is GTC—a developer-focused event—Huang didn’t wade too much into traditional gaming performance, but he teased some tantalizing tidbits. It doesn’t even have to render the pixels in those behind-the-scene frames, which (Huang claims) allows DLSS 3 to drastically speed up games even if they’re CPU-bound rather than GPU-bound. But Nvidia’s “RTX” push doesn’t rely on ray-tracing brute force alone. At its core, the GPU uses new “shader execution reordering” to improve traditional game rendering by a claimed 25 percent, but ray-traced scenes will be two to three times faster. More than two excruciatingly long years after the RTX 30-series reveal, a new generation of graphics cards is finally here.

Nvidia revealed a next-generation automotive-grade chip that will unify a wide-range of in-car technology and go into production in 2025.

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Chip giant Nvidia Corp on Tuesday unveiled its new computing platform called DRIVE Thor that would centralize autonomous and assisted driving as well as ...

"There's a lot of companies doing great work, doing things that will benefit mankind and we want to support them," Shapiro said. ban on exports of two top Nvidia computing chips for data centers to China. [read more](/business/autos-transportation/upset-by-high-prices-gms-cruise-develops-its-own-chips-self-driving-cars-2022-09-14/) Register now for FREE unlimited access to Reuters.com [(GM.N)](https://www.reuters.com/companies/GM.N) autonomous driving unit Cruise last week said it had developed its own chips to be deployed by 2025.

The upgrade comes at an interesting time for PC users, who have been starved out of the GPU market by crypto miners for years, and now have their choice of ...

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It will take a few weeks for it to become clear how much faster the new chips are. Also unclear is whether AMD has something better on tap.

just revealed its new chip. [ ](https://www.barrons.com/market-data/stocks/nvda)

Are graphics cards like the just-revealed RTX 4090 and RTX 4080s becoming unaffordable?

I hope there is some sort of relief on the horizon, because as the one Redditor put it, “I love PC gaming, but I can’t fucking afford to be a part of it anymore.” The RTX 4080 16GB is 3x the performance of the RTX 3080 Ti on next-gen content like Cyberpunk with RT Overdrive mode or Racer RTX—for the same price of $1199. But viewing events from the consumer side, it really feels like the costs of enthusiast PC gaming are continuing to skyrocket, and at a time when the costs of just about everything else are, too. The price point of RTX 4090 starts at $1599. Of course, even then its MSRP is $899, which is $400 more than the RTX 3070’s original MSRP of $499. Now Nvidia’s revealed a 16GB RTX 4080, which many observers take to be the closest to a true 3080 successor, for a whopping $1199—an increase of $500. They are trying to sell you a 4070 rebranded as a 4080 for 900$ lmao.” [One commenter looked back](https://old.reddit.com/r/hardware/comments/xjbobv/geforce_rtx_4090_revealed_releasing_in_october/ip7pdmc/) to 2018’s GeForce 10-series to pinpoint why today’s prices felt so exorbitant. [a ray-traced version of Portal](https://www.nvidia.com/en-us/geforce/news/portal-with-rtx-ray-tracing/). For example, the RTX 2070 cost almost as much as the prior high-end GTX 1080, despite being less of a flagship card. With the 20 series, they bumped all of the prices a whole fucking tier, and it looks like they are doing it again. Indeed, in 2018, Nvidia attracted criticism for pricing its then-new RTX 20-series cards a full “tier” higher than the previous 10-series cards had cost. Today, after many months of leaks, rumors, and speculation, Nvidia finally officially revealed its next generation of graphics cards, the RTX 4000 series.

Nvidia promises to make 3D modeling and digital technology more accessible for your data center, just not at the moment.

We in the data center industry know what that means, more demand for access to storage, network, and computer. Systems to support the chips are coming in the first half of 2023. The implementation of robotics to maintain data center equipment would get a boost from NVIDIA’s Omniverse, based on case studies from other verticals such as the automotive and railway industries. We admit, many of the firm’s announcements have a decided cool factor, leveraging the power of 3D for realistic simulations, but is there anything here that will change your life as a data center pro today or in the very near future? We're seeing a trend here in that NVIDIA wants simulation technology to be readily available and as plug-and-play as possible for enterprises. Our friends at Siemen’s provided us with access to a [webinar on digital twin technology](https://new.siemens.com/global/en/markets/data-centers/events-webinars/webinar-digital-twin-applications-for-data-centers-apac-emea.html).

Team Green also announced the RTX 4080 starts at $899, though we don't know a release date.

Still, Nvidia’s RTX 4080 is also here if $1,599 seems too costly, and Huang said the company will continue to support its RTX 3000 line as well. Taken together with the RTX 4090's hardware, Nvidia promises its new card will be 2x faster at non ray-tracing tasks and 4 time faster at ray-tracing ones. Huang demonstrated how it works with The Elder Scrolls III: Morrowind, a game from 2002, and while we don’t know much about what kind of power it will need in addition to an RTX 4000 series GPU, it’s going to be available for modders everywhere. With blanket promises that the card is 2-4 times faster than the RTX 3090 Ti, which is an upgraded version of the 3090, Huang showed 4K framerates above 100 fps on both Cyberpunk 2077 and Microsoft Flight Sim, both with ray-tracing on. Which is good, because the RTX 4090 looks like a significant improvement over the RTX 3090, and especially over any GTX 1000 or RTX 2000 series GPUs you might still be rocking. To support that dream, the company also announced DLSS 3.0 upgraded tech that supplies more frames with less work, plus SER, a new RTX graphics engine that promises to drastically increase ray tracing performance.

Nvidia is trying to uncomplicate AI with a cloud service that makes AI and its many forms of computing less vague and more conversational.

The process is called P-tuning, which takes advantage of the new transformer cores in the Hopper GPU. The NeMo LLM is the latest addition to a stable of software machines deployed in Nvidia’s AI factory. In the case of genomics and protein sequencing, the known structures and the behaviors and patterns is the data set that we have,” Khariya said. At the end of the learning cycle, based on the input, the main pre-trained model doesn’t change, but a prompt token is issued, which provides the context. “Transformers can rein in the more distinct relationships and that’s important for a whole class of problems. Nvidia will serve the model, but will also continue to iterate and co-develop the models with the consortium. And that token gives the model the context it needs to answer that question more accurately,” Kharya said. The LLM will help models answer questions in a language best suited to a specific domain. The model was originally developed by Meta (Facebook’s parent company), and was retrained by Nvidia and is now being offered as a service. The OpenFold Consortium, which includes academics, startups and companies in biotechnology and pharmaceutical sectors, developed the open-source protein language model. The output is a cloud-based API for users to interact with the service or use in applications. Nvidia is also kicking off the NeMo LLM cloud service with BioNeMo, which provides researchers access to pre-trained chemistry and biology language models.

After weeks of teases, Nvidia's newest computer graphics cards, the "Ada Lovelace" generation of RTX 4000 GPUs, are here. Nvidia CEO Jensen Huang debuted ...

We'll be curious to see head-to-head showdowns of Nvidia's automatic modding results compared to the best stuff from over a decade of community development. Huang also tried to curry favor with the PC modding scene by demonstrating how a new Nvidia-developed toolset, dubbed RTX Remix, can be applied to a number of classic games whose modding capabilities are wide open. When combined with DLSS 3's image reconstruction system, MSFS was demonstrated with frame rates easily reaching the 100s in some of the game's busiest scenes (though raw rasterization of the same scenes on an unnamed Lovelace GPU and PC showed solid performance as well, considering how power-hungry that game and its massive cityscapes can be). The specs are indicative of a highest-end GPU: 16,384 CUDA cores (up from the 3090's 10,496 CUDA cores) and 2.52 GHz of boost clock (up from 1.695 GHz on the 3090). The former will be augmented on Lovelace GPUs with two new types of hardware units: an "opacity micromap engine," meant to double raw ray-tracing performance, and a "micromesh engine" to increase the amount of geometric coverage "without storage cost" on the rendering front. At least for this generation, Nvidia is offering 12GB of memory as a 4080 baseline—effectively addressing a major criticism with the consistently memory-starved RTX 3000 generation of GPUs.

In his GTC keynote today, Nvidia CEO Jensen Huang launched another new Nvidia GPU architecture: Ada Lovelace, named for the legendary mathematician regarded ...

There is also Omniverse Replicator, a 3D synthetic data generator for researchers, developers, and enterprises that integrates with Nvidia’s AI cloud services. Omniverse Cloud will also be available as Nvidia managed services via early access by application. “Using this technology to generate large volumes of high-fidelity, physically accurate scenarios in a scalable, cost-efficient manner will accelerate our progress towards our goal of a future with zero accidents and less congestion.” “Planning our factories of the future starts with building state-of-the-art digital twins using Nvidia Omniverse,” said Jürgen Wittmann, head of innovation and virtual production at BMW Group. With Omniverse Cloud, users can collaborate on 3D workflows without the need for local compute power. “In the case of OVX, we do optimize it for digital twins from a sizing standpoint, but I want to be clear that it can be virtualized. Nvidia said that the RTX 6000 would be available in a couple of months from channel partners with wider availability from OEMs late this year into early next year to align with developments elsewhere in the industry. The second generation OVX system features an updated GPU architecture and enhanced networking technology. Ada Lovelace is not a subset of Nvidia’s Hopper GPU architecture (announced just six months prior), nor is it truly a successor — instead, Ada Lovelace is to graphics workloads as Hopper is to AI and HPC workloads. “With a massive 48GB frame buffer, OVX, with eight L40s, will be able to process giant Omniverse virtual world simulations.” The company also announced two GPUs based on the Ada Lovelace architecture — the workstation-focused RTX 6000 and the datacenter-focused L40 — along with the Omniverse-focused, L40-powered, second-generation OVX system. In his GTC keynote today, Nvidia CEO Jensen Huang launched another new Nvidia GPU architecture: Ada Lovelace, named for the legendary mathematician regarded as the first computer programmer.